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Glasses Encourage Your Choices: A System that Supports Indecisive Choosers by Eye-tracking

Abstract

There is the problem of worrying when making a choice. To solve this problem, we propose a system that recommends products like a clerk in a store when in need. In this study, we focus on the fact that people tend to gaze at what they are interested in. Our system observes eye movement during selection and encourages selection by suggesting to a person who is having difficulty choosing that they select the product they have been looking at most. We developed a prototype system that implements the proposed method using a wearable eye-tracking system. We conducted two selection experiments, a selection from a menu (number of options: N=20) and a selection from a catalog (N=116), to test the system's usefulness. As a result, the selection from a menu reduced the time required for selection and resulted in high selector satisfaction. There was no such tendency in the case of selection from a catalog. Gaze movements during selection were more complex than in the selection from a menu, suggesting that the timing of recommendation may be necessary.

Artifacts

Information

Book title

International Conference on Human-Computer Interaction (HCII 2023)

Volume

LNCS, volume 14015

Pages

410-421

Date of issue

2023/07/09

Date of presentation

2023/07/26

Citation

Tatsuya Komatsubara, Satoshi Nakamura. Glasses Encourage Your Choices: A System that Supports Indecisive Choosers by Eye-tracking, International Conference on Human-Computer Interaction (HCII 2023), Vol.LNCS, volume 14015, pp.410-421, 2023.